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831 Trunk-originated Triggering All CAMEL services up to CAMEL phase 4 in 3GPP Rel-6 are triggered from an MSC that is serving a subscriber; this rule also applies for the dialled services Hence, CAMEL services may be triggered from the following logical entities: visited MSC (VMSC) a VMSC may be involved in MO, MF and MT calls; Gateway MSC (GMSC) a GMSC may be involved in MT and MF calls Hence, CAMEL does not formally specify a mechanism to trigger a service from an MSC that is neither VMSC nor GMSC Example cases where this form of triggering is required include: Premium rate and free phone service calls to service numbers like premium rate and free phone may be routed to a designated SSP in the PLMN Service triggering takes place from the SSP Calls to service numbers may also originate from outside the PLMN; in that case, calls to these numbers are also routed to this designated SSP in the PLMN Remote access for VPN subscriber VPN subscribers need to be able to access their service using another subscriber s phone or from a connection outside the PLMN, eg a PSTN terminal Direct PABX connection a GSM operator may connect a PABX directly to an MSC in the PLMN Calls to and from individual extensions from such PABX require service triggering from the MSC In the above examples, the MSC from which triggering should take place has no subscription data available, such as O-CSI or T-CSI Neither does the MSC start a normal MO call process or MT call process For these call cases, trunk-originated (TO) triggering may be used Figure 811 shows an example of service triggering for PABX connection In this example, the PABX is connected to the MSC through a digital subscriber signalling 1 (DSS1) connection DSS1 is the access signalling protocol that is normally used to connect subscriber equipment to the ISDN network The PABX may be con gured to route calls to speci c destinations through a trunk route to the MSC The PABX appends a pre x to the called number for these calls; this pre x is used to identify the owner of the PABX, ie the company The MSC is con gured to trigger a VPN service for calls originating from this incoming trunk, and other incoming trunks The MSC applies TO triggering to trigger a CAMEL service for this call case All data that is required for TO triggering, such as service key, gsmSCF address, protocol (application part), etc is provisioned in the MSC Compare this with the provisioning of N-CSI in an operator s MSC CAMEL speci es that CAP v4 will be used for TO triggering When TO service triggering is started, the MSC instantiates the CAMEL phase 4 O-BCSM A later subsection will explain an enhancement to the O-BCSM for the TO call case In principle, all capabilities contained in CAP v4 may be used for the TO service The following ist shows the main differences between the capability for an MO call and the capability for a TO call There is no interaction with a VLR for the TO call; there is no subscriber data available This means that no supplementary services can be performed for the call Subscriber-speci c data such as IMSI and location information will not be reported to the SCP The location number, however, may be reported to the SCP, if received on the incoming trunk.

The need to measure the effects of optimization is even greater on the Java platform than on more traditional platforms, as the Java programming language does not have a strong performance model The relative costs of the various primitive operations are not well defined The semantic gap between what the programmer writes and what the CPU executes is far greater than in traditional compiled languages which makes it very difficult to reliably predict the performance consequences of any optimization There are plenty of performance myths floating around that turn out to be half-truths or outright lies Not only is the performance model ill-defined, but it varies from JVM implementation to JVM implementation and from release to release If you will be running your program on multiple JVM implementations, it is important that you measure the effects of your optimization on each Occasionally you may be forced to make trade-offs between performance on different JVM implementations To summarize, do not strive to write fast programs strive to write good ones; speed will follow Do think about performance issues while you're designing systems and especially while you're designing APIs, wire-level protocols, and persistent data formats When you've finished building the system, measure its performance If it's fast enough, you're done If not, locate the source of the problems with the aid of a profiler, and go to work optimizing the relevant parts of the system The first step is to examine your choice of algorithms: No amount of low-level optimization can make up for poor choice of algorithm Repeat this process as necessary, measuring the performance after every change, until you're satisfied. Drawing QR Code In C# Using Barcode maker for .Related: Codabar Generating .NET , .NET ITF-14 Generating , Generate Interleaved 2 of 5 .NET

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If the random method worked properly, the program would print a number close to half a million, but if you run it, you'll find that it prints a number close to 666,666 Two thirds of the numbers generated by the random method fall in the lower half of its range! The third flaw in the random method is that it can, on rare occasion, fail catastrophically, returning a number outside the specified range This is so because the method attempts to map the value returned by rndnextInt() into a nonnegative integer with Mathabs If nextInt() returns IntegerMIN_VALUE, Mathabs will also return IntegerMIN_VALUE, and the remainder operator (%) will return a negative number, assuming n is not a power of two This will almost certainly cause your program to fail, and the failure may be difficult to reproduce To write a version of random that corrects these three flaws, you'd have to know a fair amount about linear congruential pseudorandom number generators, number theory, and two's complement arithmetic Luckily, you don't have to do this it's already been done for you It's called RandomnextInt(int), and it was added to the standard library package javautil in release 12 You don't have to concern yourself with the details of how nextInt(int) does its job (although you can study the documentation or the source code if you're morbidly curious) A senior engineer with a background in algorithms spent a good deal of time designing, implementing, and testing this method and then showed it to experts in the field to make sure it was right Then the library was beta tested, released, and used extensively by thousands of programmers for several years No flaws have yet been found in the method, but if a flaw were to be discovered, it would get fixed in the next release By using a standard library, you take advantage of the knowledge of the experts who wrote it and the experience of those who used it before you A second advantage of using the libraries is that you don't have to waste your time writing ad hoc solutions to problems only marginally related to your work If you are like most programmers, you'd rather spend your time working on your application than on the underlying plumbing A third advantage of using standard libraries is that their performance tends to improve over time, with no effort on your part Because many people use them and because they're used in industry-standard benchmarks, the organizations that supply these libraries have a strong incentive to make them run faster For example, the standard multiprecision arithmetic library, javamath, was rewritten in release 13, resulting in dramatic performance improvements Libraries lso tend to gain new functionality over time If a library class is missing some important functionality, the developer community will make this shortcoming known The.

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Service disciplines for guaranteed performance service in packet witching networks. Proc. of IEEE, 83(10):October 1995. 27. H. Zhang and E. W. Knightly. Providing end-to-end statistical performance guarantees with bounding interval dependent stochastic models. In Proc. ACM SIGMETRICS'94, pp. 211 220, May 1994. Code 39 Full ASCII Printer In .NET Framework a>. Creation In VB.NET Using Barcode encoder for .NET .Related: Generate Intelligent Mail .NET

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A call admission unit will use the equivalent bandwidth algorithms to determine if a speci c cell can be admitted without violating quality-of-service guarantees of ther calls (or if an important call must be admitted, which calls to disconnect). The call-admission unit is beyond the scope of this chapter. Control to generate, create Code 39 Full ASCII image n . In Visual Basic .NET Using Barcode encoder for .NET .Related: 

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